For founders shipping agentic products with a lean team

Hire your eval team. Skip the headcount.

Your 5 to 8 engineers should be shipping product, not building a grading harness. We’re that eval team, on demand: real people who walk your agent down every path and catch the failures that would churn the customers you can’t afford to lose.

Book a call with an engineer
scope your agent free · 30-min call, no prep · scope in 48h · first $200 free
Release check · your-agentsample
unit tests212 passing
outputs matchevery reply reads clean
latency p951.9s
What a person finds underneath
execute_action() fires before the user confirmscrit
handoff drops the whole conversationcrit
27-call retry loop on a dead endpointmajor
promises a 60 day window, policy says 30major
Ranked by severity. Every one read by a person.
The gap

Developers are great at unit tests. Agents need more.

A unit test runs the same input and gets the same result. An agent takes a different path every time: does the one thing asked, does three, apologizes and does nothing. Deterministic tests can’t see that. That’s the gap we close.

Unit test · deterministic
assert delete(record_4413) == ok
run 1assert ok
run 2assert ok
run 3assert ok
Same input, same result, every time. Your tests can see this.
Real agent · non-deterministic
“Delete the flagged record. Just that one.”
run 1deletes the one record
run 2deletes three records
run 3apologizes, deletes nothing
Same input, a different path every run. Deterministic tests can't see this.
The math

You don’t need an eval hire yet. You need this.

A dedicated eval engineer is a $180k+ seat and a three-month ramp, for a problem that isn’t full-time at your size. A tool is a framework you still staff and grade yourself. We’re the in-between: a full eval team on demand, live in days, with nothing to hire, onboard, or lay off. Your engineers stay on the roadmap. We keep the agent honest.

Hire an eval engineer
a seat
Buy an eval tool
a framework
Engineer in Residence
an eval team on demand
Time to first signal
~3-month ramp
weeks of setup
days
Cost
$180k+/yr + equity
seat fee + your eng time
pilot, then retainer
Who grades
one person's opinion
your team, or an autograder
expert humans, always
Eng time from your team
hiring + management
integration + upkeep
near-zero
Scales down when quiet
no, it's a salary
no
yes, no lock-in
The stakes

At your stage, a regression isn’t a bug. It’s a churned logo.

When your product is the agent, an unconfirmed irreversible action or a loop in front of an early customer doesn’t just annoy them. Pre-Series-A, every customer is a reference, a case study, a line in your next raise. One bad ship costs trust you can’t easily rebuild. And you rebuild it with the exact people you were counting on to vouch for you.

The turn

Four ways in. One eval team.

Start here
Set the bar
Gold Standard Evals

A custom rubric and a hand-graded golden dataset built around your agent: the fixed reference standard every eval, benchmark, and release measures against.

Explore →
Hold the bar
Release Benchmarks

A private suite of frozen cases re-graded by hand every release, so wrong tool calls, broken trajectories, and unsafe actions surface as regressions, not incidents.

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Map the agents
Multi-Agent Audit

A hand-graded map of how your agents work together: routing, tool calls, retries, and agent-to-agent handoffs, scored privately and reproducibly, so you see what holds up and what quietly breaks.

Explore →
Tune the prompt
Prompt Tune-Up

Your agent's prompts benchmarked on real cases, rewritten for tool use and handoffs, and proven side by side: accuracy up, tokens down, edge cases fixed before your users find them.

Explore →
The golden dataset feeds all three: the map and the tune-up are graded against it, and every release is held to it.

Which one do I need?

You can't trust your scores, or compare one eval run against anotherGold Standard Evals
You ship on a cadence and fear the silent regressionsRelease Benchmarks
You run more than one agent, and the calls between them are a black boxMulti-Agent Audit
Your prompts grew by accretion, and every change ships on vibesPrompt Tune-Up
Most teams start with Gold Standard Eval, then hold the bar with Release Benchmarks.

Stop guessing what your AI ships.

One scoping call with an engineer. A hand-graded pilot on your agent’s real paths, first $200 on us.

Book a call with an engineer